LEADER 05521nam 2200625Ia 450 001 9910438038903321 005 20200520144314.0 010 $a1-283-63044-3 010 $a9786613942890 010 $a3-642-30621-7 024 7 $a10.1007/978-3-642-30621-1 035 $a(CKB)2560000000090976 035 $a(EBL)1030775 035 $a(OCoLC)806458684 035 $a(SSID)ssj0000745872 035 $a(PQKBManifestationID)11470306 035 $a(PQKBTitleCode)TC0000745872 035 $a(PQKBWorkID)10859345 035 $a(PQKB)10399360 035 $a(DE-He213)978-3-642-30621-1 035 $a(MiAaPQ)EBC1030775 035 $a(PPN)168317249 035 $a(EXLCZ)992560000000090976 100 $a20120817d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aComputational intelligence in image processing /$fAmitava Chatterjee, Patrick Siarry, editors 205 $a1st ed. 2013. 210 $aBerlin ;$aHeidelberg $cSpringer$dc2013 215 $a1 online resource (302 p.) 300 $aDescription based upon print version of record. 311 $a3-642-43164-X 311 $a3-642-30620-9 320 $aIncludes bibliographical references and index. 327 $aPart I - Image Preprocessing Algorithms -- Chap. 1 - Improved Digital Image Enhancement Filters Based on Type-2 Neuro-Fuzzy Techniques (Mehmet Emin Yüksel, Alper Ba?türk) -- Chap. 2 - Locally-Equalized Image Contrast Enhancement Using PSO-Tuned Sectorized Equalization (N.M. Kwok, Q.P. Ha, G. Fang, D. Wang, S.Y. Chen) -- Chap. 3 - Hybrid BBO-DE Algorithms for Fuzzy Entropy Based Thresholding (Ilhem Boussaïd, Amitava Chatterjee, Patrick Siarry, Mohamed Ahmed-Nacer) -- Chap. 4 - A Genetic Programming Approach for Image Segmentation (Hugo Alberto Perlin, Heitor Silvério Lopes) -- Part II - Image Compression Algorithms -- Chap. 5 - Fuzzy Clustering-Based Vector Quantization for Image Compression (George E. Tsekouras, Dimitrios M. Tsolakis) -- Chap. 6 - Layers Image Compression and Reconstruction by Fuzzy Transforms (Ferdinando Di Martino, Salvatore Sessa) -- Chap. 7 - Modified Bacterial Foraging Optimization Technique for Vector Quantization-Based Image Compression (Nandita Sanyal, Amitava Chatterjee, Sugata Munshi) -- Part III - Image Analysis Algorithms -- Chap. 8 - A Fuzzy-Condition-Sensitive Hierarchical Algorithm for Approximate Template Matching in Dynamic Image Sequences (Rajshree Mandal, Anisha Halder, Amit Konar, Atulya K. Nagar) -- Chap. 9 - Digital Watermarking Strings with Images Compressed by Fuzzy Relation Equations (Ferdinando Di Martino, Salvatore Sessa) -- Chap. 10 - Study on Human Brain Registration Process Using Mutual Information and Evolutionary Algorithms (Mahua Bhattacharya, Arpita Das) -- Chap. 11 - On the Use of Stochastic Optimization Algorithms in Image Retrieval Problems (Mattia Broilo, Francesco G.B. De Natale) -- Chap. 12 - A Cluster-Based Boosting Strategy for Red Eyes Removal (Sebastiano Battiato, Giovanni Maria Farinella, Mirko Guarnera, Giuseppe Messina, Daniele Ravì) -- Part IV - Image Inferencing Algorithms -- Chap. 13 - Classifying Pathological Prostate Images by Fractal Analysis and Texture Features of Multicategories (Po-Whei Huang, Cheng-Hsiung Lee, Phen-Lan Lin) -- Chap. 14 - Multiobjective PSO for Hyperspectral Image Clustering (Farid Melgani, Edoardo Pasolli) -- Chap. 15 - A Computational Intelligence Approach to Emotion Recognition from the Lip-Contour of a Subject (Anisha Halder, Srishti Shaw, Kanika Orea, Pavel Bhowmik, Aruna Chakraborty, Amit Konar) -- Index. 330 $aComputational intelligence based techniques have firmly established themselves as viable, alternate, mathematical tools for more than a decade. They have been extensively employed in many systems and application domains, among these signal processing, automatic control, industrial and consumer electronics, robotics, finance, manufacturing systems, electric power systems, and power electronics. Image processing is also an extremely potent area which has attracted the atten­tion of many researchers who are interested in the development of new computational intelligence-based techniques and their suitable applications, in both research prob­lems and in real-world problems. Part I of the book discusses several image preprocessing algorithms; Part II broadly covers image compression algorithms; Part III demonstrates how computational intelligence-based techniques can be effectively utilized for image analysis purposes; and Part IV shows how pattern recognition, classification and clustering-based techniques can be developed for the purpose of image inferencing. The book offers a unified view of the modern computational intelligence tech­niques required to solve real-world problems and it is suitable as a reference for engineers, researchers and graduate students. 606 $aImage processing$xMathematics 606 $aImage processing$xDigital techniques 606 $aComputational intelligence 615 0$aImage processing$xMathematics. 615 0$aImage processing$xDigital techniques. 615 0$aComputational intelligence. 676 $a621.367 701 $aChatterjee$b Amitava$01061356 701 $aSiarry$b Patrick$0860327 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438038903321 996 $aComputational intelligence in image processing$94184306 997 $aUNINA